Asymmetrical Uplink and Downlink Transceivers in Massive MIMO Systems

被引:16
作者
Yang, Xi [1 ,2 ]
Jin, Shi [1 ]
Li, Geoffrey Ye [3 ]
Li, Xiao [1 ]
机构
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] Univ Macau, State Key Lab Internet Things Smart City, Taipa 999078, Peoples R China
[3] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
基金
中国国家自然科学基金;
关键词
Radio frequency; Antenna arrays; Massive MIMO; Transceivers; Receiving antennas; Downlink; Costs; Asymmetrical transceiver; uplink-to-downlink channel transfer; spectral efficiency; energy efficiency; ANTENNA SELECTION; ENERGY EFFICIENCY; WIRELESS; ARRAY; TRANSMISSION; CAPACITY; PHASE;
D O I
10.1109/TVT.2021.3112570
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Even if massive multiple-input multiple-output (MIMO) can theoretically bring huge benefits, it incurs substantial hardware complexity and expensive hardware costs. To address these issues while maintaining the system performance simultaneously, we develop an asymmetrical transceiver architecture for massive MIMO systems in this paper by releasing the shackles on radio frequency (RF) chains. Specifically, we first develop the architecture for the asymmetrical transceiver where the number of receive RF chains is different from that of the transmit RF chains. Due to this unequal number of RF chains, channel inconsistency appears. To overcome the channel inconsistency and thus fully harness the system's downlink data transmission capability, we propose two uplink-to-downlink channel transfer algorithms. The cost and power consumption models for the asymmetrical transceiver are also developed and the uplink signal-to-noise loss due to the channel inconsistency is investigated. Through analyzing system spectral, cost, and energy efficiency, we demonstrate that the proposed asymmetrical transceiver-based massive MIMO system can achieve excellent downlink spectral efficiency while maintaining a reasonable energy efficiency.
引用
收藏
页码:11632 / 11647
页数:16
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